# Synaptic

> Synaptic — synaptic-graph-synaptic. Use this tool when you need to ensure reliable AI agent performance by mapping dependencies, predicting change impact, and verifying refactors. It solves problems related to code maintenance, testing, and deployment by providing auditable code intelligence. Ideal for use with git, Synaptic streamlines the development process by selecting the right tests and verifying changes before shipment.

Canonical page: https://skillsregistry.net/skills/synaptic-graph-synaptic  
JSON: https://api.skillsregistry.net/v1/skills/synaptic-graph-synaptic

## Description

Auditable code intelligence for AI agents - map dependencies, predict change impact, select the right tests, and verify refactors before they ship.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Synaptic-Graph/Synaptic)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "synaptic-graph-synaptic"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/synaptic-graph-synaptic` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/synaptic-graph-synaptic/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt